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Abstract #4472

Evaluating fast R2-mapping approaches for application in temporal lobe epilepsy: a traveling head study

Laurin Mordhorst1,2, Francisco J. Fritz2, Nina Lüthi1,2, Difei Wang3, Rüdiger Stirnberg3, David Leitão4, Philippa Bridgen5, Zihan Ning4, Jürgen Finsterbusch2, Shaihan Malik4, David W Carmichael4, Tony Stöcker3,6, and Siawoosh Mohammadi1,2
1Department of Neuroradiology, University of Luebeck, Luebeck, Germany, 2Institute of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 3MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany, 4Imaging Physics & Engineering Research Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, 5Guy’s and St. Thomas’ NHS Foundation Trust, London, United Kingdom, 6Department of Physics and Astronomy, University of Bonn, Bonn, Germany

Synopsis

Keywords: Relaxometry, Relaxometry, gray matter, reproducibility, temporal lobe, multi-site study

Motivation: Drug-resistant temporal lobe epilepsy (DTLE) requires localizing subtle abnormalities for effective surgery. Transverse relaxation rate (R2) mapping can help reveal these abnormalities but is time-intensive.

Goal(s): Evaluating two fast R2 mapping approaches for DTLE: magnitude-phase-based relaxation (MPR) and controlled saturation magnetization transfer with joint system relaxation (CSMT-JSR).

Approach: We tested MPR and CSMT-JSR on the same set of subjects at the development and intended application sites. We assessed R2 variability across gray matter regions, subjects, and scan-rescan.

Results: MPR showed higher inter-region differences and lower scan-rescan variability, suggesting greater potential to capture anatomical variation, while being twice as fast.

Impact: We identify a fast R2 mapping method with reliable sensitivity to key regions in drug-resistant temporal lobe epilepsy. Our findings could expand R2 mapping accessibility for clinical application and contribute to improved surgical planning.

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